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Titlebook: Combinatorial Optimization and Applications; 13th International C Yingshu Li,Mihaela Cardei,Yan Huang Conference proceedings 2019 Springer

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书目名称Combinatorial Optimization and Applications
副标题13th International C
编辑Yingshu Li,Mihaela Cardei,Yan Huang
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Combinatorial Optimization and Applications; 13th International C Yingshu Li,Mihaela Cardei,Yan Huang Conference proceedings 2019 Springer
描述This volume constitutes the proceedings of the 13th International Conference on Combinatorial Optimization and Applications, COCOA 2019, held in Xiamen, China, in December 2019.. The 49 full papers presented in this volume were carefully reviewed and selected from 108 submissions. The papers cover the various topics, including cognitive radio networks, wireless sensor networks, cyber-physical systems, distributed and localized algorithm design and analysis, information and coding theory for wireless networks, localization, mobile cloud computing, topology control and coverage, security and privacy, underwater and underground networks, vehicular networks, information processing and data management, programmable service interfaces, energy-efficient algorithms, system and protocol design, operating system and middleware support, and experimental test-beds, models and case studies.
出版日期Conference proceedings 2019
关键词approximation algorithms; bioinformatics; communication network optimization; complex network optimizat
版次1
doihttps://doi.org/10.1007/978-3-030-36412-0
isbn_softcover978-3-030-36411-3
isbn_ebook978-3-030-36412-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Algorithmic Pricing for the Partial Assignment,l welfare. We then analyze two pricing schemes to approximate the optimal social welfare. In the trade-off pricing scheme, an .(.)-approximation algorithm can be achieved if considering the subset of the bundle, where . is the maximal cardinality of the assigned bundle among all buyers. In the item-
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Recognizing the Tractability in Big Data Computing,linear time after a PTIME preprocessing by reducing the size of input dataset. . includes all the problems that can solved by a RATM in sublinear time after a PTIME preprocessing by extending the size of input dataset. The relations among the two pseudo-tractable classes and other complexity classes
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Thomas Roche,Laurent Imbert,Victor Lomnéea of scheduling long jobs in parallel with short jobs to obtain solutions with tightly satisfied packing and bounded job start constraints. For a broad family of instances excluding degenerate instances with many very long jobs and instances with few machines, we derive a 1.985-approximation ratio.
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